# Google Play Reviews Scraper - Android App Reviews by Country (`leekung125/google-play-reviews-scraper`) Actor

Google Play reviews for any Android apps by country and language: rating, text, author, thumbs-up, app version, developer reply, plus app details. Pages of 200 with continuation, one row per review, charged only per review delivered. No browser.

- **URL**: https://apify.com/leekung125/google-play-reviews-scraper.md
- **Developed by:** [Lee Kung](https://apify.com/leekung125) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Play Reviews Scraper — Android app reviews by country and language, pay per review

Collect **Google Play reviews** for any Android apps: star rating, review text, author, thumbs-up count,
app version, date, and the developer's reply, plus **app details** (title, developer, score, rating count,
installs, version). One row per review. JSON, CSV or Excel; schedule it, call it from the API or an AI agent.

- **Pages of 200 with continuation**, so you can pull thousands of reviews per app, not a fixed 500.
- **Charged per review delivered.** App-detail rows are free. Empty results cost nothing.
- **Per country and language.** `us`, `gb`, `de`, `in`, `br`… with the review language you want.
- **Newest, most relevant, or by rating**, and an **only-this-rating** filter for complaint mining (1 star) or praise (5 stars).
- Pairs with the [App Store Reviews Scraper](https://apify.com/leekung125/app-store-reviews-scraper) for both stores in one pipeline.

### Output

| `type` | fields |
|---|---|
| `review` | `package`, `country`, `lang`, `rating` (1–5), `content`, `author`, `thumbs_up`, `app_version`, `at`, `reply_content`, `replied_at`, `review_id` |
| `app` (free) | `app_name`, `developer`, `genre`, `score`, `ratings`, `reviews_count`, `installs`, `real_installs`, `price`, `free`, `version`, `updated`, `app_url`, `icon` |

Sample review row:

```json
{"type":"review","package":"com.whatsapp","country":"us","lang":"en","review_id":"…","rating":4,"content":"Good","author":"…","thumbs_up":2,"app_version":"2.26.34.81","at":"2026-09-08T04:26:32","reply_content":null,"replied_at":null}
```

### Input

| field | default | notes |
|---|---|---|
| `apps` | — | Google Play URLs (`https://play.google.com/store/apps/details?id=com.whatsapp`) or package names |
| `countries` | `["us"]` | two-letter country codes |
| `language` | `en` | review language code |
| `sort` | `newest` | `newest`, `mostRelevant`, `rating` |
| `maxReviewsPerApp` | `500` | per app and country; raise it for deep pulls |
| `onlyRating` | `0` | 1–5 to keep one star rating only |
| `includeAppDetails` | `true` | one free `app` row per app and country |

Minimal input:

```json
{ "apps": ["com.whatsapp"], "countries": ["us"] }
```

### Use cases

Competitor and category research · complaint mining before a release · release monitoring by `app_version` ·
sentiment datasets for AI · support forecasting · localisation checks per country and language.

### Limits and honesty notes

- Reviews and app data are the public listings Google Play shows to any visitor; author names are the
  public display names. No login, no private data.
- Very large pulls (tens of thousands of reviews) can hit Google's rate limits; the Actor slows down and
  retries, and stops with the reviews it has rather than looping. For big jobs use a residential proxy.
- Google changes its endpoints now and then; the Actor is watched daily and fixed when that happens.

### Support

Open an issue on the Issues tab. Every run writes a `SUMMARY` record with apps, countries and review counts.

# Actor input Schema

## `apps` (type: `array`):

Google Play URLs (https://play.google.com/store/apps/details?id=com.whatsapp) or package names (com.whatsapp), one per line.

## `countries` (type: `array`):

Two-letter country codes, e.g. us, gb, de, in, br. Reviews differ per country.

## `language` (type: `string`):

Language code for the reviews, e.g. en, de, es, pt.

## `sort` (type: `string`):

Newest first (default), most relevant, or by rating.

## `maxReviewsPerApp` (type: `integer`):

Stop after this many reviews for each app/country. Raise it for deep pulls (pages of 200).

## `onlyRating` (type: `integer`):

1-5 to keep only reviews with that star rating (e.g. 1 for complaints). 0 = all ratings.

## `includeAppDetails` (type: `boolean`):

Add one free row per app and country with title, developer, score, ratings, installs, version.

## Actor input object example

```json
{
  "apps": [
    "com.whatsapp"
  ],
  "countries": [
    "us"
  ],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 500,
  "onlyRating": 0,
  "includeAppDetails": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        "com.whatsapp"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("leekung125/google-play-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "apps": ["com.whatsapp"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("leekung125/google-play-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    "com.whatsapp"
  ],
  "countries": [
    "us"
  ]
}' |
apify call leekung125/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leekung125/google-play-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vQ7pUZxQDOqdgze7W/builds/M6vdyynNYiq6Qy9rH/openapi.json